Data Analytics & Insight Manager

SALARY: From £49,354 pa dependent on experience LOCATION: Milton Keynes HYBRID WORKING: Our current hybrid working policy requires a minimum of 60% of working time to be based in the Milton Keynes office however flexibility is expected to meet the needs of the business and the role. HOURS / CONTRACT TYPE: Full time, permanent CLOSING DATE: 29/09/26 We reserve the right to close the advert earlier If we receive a high volume of applications. We’re looking for a Data Analytics & Insight Manager to lead the delivery of high-quality reporting, analysis and insight that supports effective decision-making across our business. This high-impact and analytical role will be instrumental in turning complex data into clear and meaningful insight. You’ll work closely with senior stakeholders and teams across the business, helping them understand performance, identify trends, manage risks and opportunities, and make informed decisions. What you’ll be doing: Leading the development and delivery of automated performance reporting and a consistent suite of business reports. Turning complex data into clear insights, recommendations and engaging stories for senior and non-technical audiences. Working with senior stakeholders to understand their reporting and insight needs, influence priorities and deliver information that supports decision-making. Producing high-quality reporting and analysis across customer, sales, operational and financial performance. Identifying trends, risks and opportunities by monitoring performance and investigating significant changes or variances. Selecting meaningful measures and creating clear data visualisations that help stakeholders understand performance and take action. Supporting the transition of reporting activity into data product teams and working across multiple business areas to improve reporting processes. Improving the quality, consistency and accuracy of data, reporting and senior management presentation packs. Leading, coaching and developing a team, creating a supportive environment that encourages high standards and continuous improvement. What you’ll bring: You’ll be an experienced data analytics and insight leader with the ability to combine strong technical knowledge with commercial awareness and excellent stakeholder management skills. You’ll have a passion for using data to tell a clear story and a focus on producing insight that enables better business decisions. You’ll be confident working with senior stakeholders, leading a team and explaining complex information in a straightforward and engaging way. Essential experience & skills Strong senior stakeholder management, influencing and relationship-building skills. Experience presenting complex technical information clearly to non-technical audiences. Strong data storytelling and visualisation skills, including the ability to select meaningful measures and performance indicators. Excellent analytical, trend-analysis and problem-solving capability. Experience working with large datasets, data quality requirements and end-to-end data processes. Advanced Tableau, Microsoft Excel and PowerPoint skills. Experience working across multiple business areas and with data product teams. Strong people leadership skills, with experience coaching, supporting and developing team members. The ability to manage multiple priorities and deliver accurate work at pace under pressure. Experience delivering complex reporting, analytical or data-led activities. The ability to turn analysis into clear recommendations that support business decisions. Desirable experience & skills: Experience working within a Hub and Spoke model, Centre of Excellence or Data Office. Experience working as part of, or alongside, Data Product Teams. Experience using Power BI. Experience working with modern cloud-based data platforms (e.g. data warehouses, data lakes environments) to support analytics and reporting. An understanding of data governance within analytics and reporting. Experience within automotive finance, financial services or banking. A degree in a statistical, scientific or related discipline. Experience using statistical or analytical methods to identify patterns, relationships and performance trends. What’s in it for you? Bonus: Discretionary 10% on-target bonus (based on personal and Group company performance) Pension: Employer pension contribution of 9% (based on employee contribution of 3%). VWFS will pay 6% if employee chooses a 2% employee contribution. Car schemes*: Choice of Employee Car Ownership (ECO) scheme for petrol/diesel and hybrid vehicles plus car insurance. OR Company Car scheme for Battery Electric Vehicles (BEVs) plus car insurance cover for you and a partner/eligible family member. Other benefits: From day 1 we provide income protection, life assurance (4x salary), retail discount vouchers , access to Care Concierge (a service to support carers of adults), along with other salary sacrifice options including a will writing service and cycle to work (subject to scheme restrictions). Following successful completion of probation, you will have access to private medical insurance for you (with the option to buy additional family cover), access to our loan car scheme for up to 2 cars for your partner or eligible family members (subject to scheme restrictions) and during our annual benefit window you can purchase critical illness cover and dental cover , so you can select the benefits that matter to you. We invest in our people and are passionate about driving development. You’ll have access to LinkedIn Learning via our Degreed platform as well as a host of professional development programmes and opportunities to build your technical and soft skills so you can further develop your career. We also offer mentoring schemes and reciprocal partnerships recognising that we can all learn from each other in the flow of work.

Leading the development and delivery of automated performance reporting and a consistent suite of business reports.

Turning complex data into clear insights, recommendations and engaging stories for senior and non-technical audiences.

Working with senior stakeholders to understand their reporting and insight needs, influence priorities and deliver information that supports decision-making.

Producing high-quality reporting and analysis across customer, sales, operational and financial performance.

Identifying trends, risks and opportunities by monitoring performance and investigating significant changes or variances.

Selecting meaningful measures and creating clear data visualisations that help stakeholders understand performance and take action.

Supporting the transition of reporting activity into data product teams and working across multiple business areas to improve reporting processes.

Improving the quality, consistency and accuracy of data, reporting and senior management presentation packs.

Leading, coaching and developing a team, creating a supportive environment that encourages high standards and continuous improvement.

Strong senior stakeholder management, influencing and relationship-building skills.

Experience presenting complex technical information clearly to non-technical audiences.

Strong data storytelling and visualisation skills, including the ability to select meaningful measures and performance indicators.

Excellent analytical, trend-analysis and problem-solving capability.

Experience working with large datasets, data quality requirements and end-to-end data processes.

Advanced Tableau, Microsoft Excel and PowerPoint skills.

Experience working across multiple business areas and with data product teams.

Strong people leadership skills, with experience coaching, supporting and developing team members.

The ability to manage multiple priorities and deliver accurate work at pace under pressure.

Experience delivering complex reporting, analytical or data-led activities.

The ability to turn analysis into clear recommendations that support business decisions.

Experience working within a Hub and Spoke model, Centre of Excellence or Data Office.

Experience working as part of, or alongside, Data Product Teams.

Experience using Power BI.

Experience working with modern cloud-based data platforms (e.g. data warehouses, data lakes environments) to support analytics and reporting.

An understanding of data governance within analytics and reporting.

Experience within automotive finance, financial services or banking.

A degree in a statistical, scientific or related discipline.

Experience using statistical or analytical methods to identify patterns, relationships and performance trends.

About You

About Us

Why join VWFS UK? You’ll have the opportunity to make a difference by helping us to achieve our mission. Our mission is straight forward; we want to be 'The Key to Mobility'. That means we make getting from A-to-B as easy and simple for as many people as possible. To truly meet the mobility needs of people in a changing world, our offering goes beyond traditional vehicle financing. We do this by providing a range of finance and aftersales products on Volkswagen Group vehicles, as well as developing innovative mobility products designed to solve real problems and support our customers. No candidate will meet every single desired qualification. If your experience looks a little different from what we've identified and you think you can bring value to the role, we'd love to learn more about you! VWFS is proud to be an inclusive employer and encourages applications from a diverse range of candidates. Diversity, Equity & Inclusion isn’t just a statement for us, we encourage and aspire for all our colleagues to be their 100% self. If you need any reasonable adjustments to assist you with the application and/or recruitment processes, please contact our Resourcing Team. This role does not meet the UKVI’s criteria for the skilled worker sponsorship route, therefore we are unable to accept candidates requiring sponsorship for this role.

Share

Facebook

X

LinkedIn

WhatsApp

Email